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Article
An Interactive Program for the Analysis of Data from Two-Level Factorial Experiments via Probability Plotting
Journal of Quality Technology
  • Stephen V. Crowder, Corning Glass Works
  • Karen L. Jensen, Iowa State University
  • W. Robert Stephenson, Iowa State University
  • Stephen B. Vardeman, Iowa State University
Document Type
Article
Publication Version
Published Version
Publication Date
4-1-1988
DOI
10.1080/00224065.1988.11979094
Abstract

An interactive computer program that expedites the analysis for unreplicated two-level factorial and fractional factorial experimental designs advocated by Daniel (1976) and Box, Hunter, and Hunter (1978) is presented. The program calculates estimated effects via the Yates algorithm, identifies statistically detectable effects via normal plots and half normal plots, fits candidate models via the reverse Yates algorithm, and enables evaluation of candidate models through residual plots. The program can handle the analysis of standard 2p-q fractional factorial experiments where p - q √ 7 and can be modified to allow p - q > 7.

Comments

This article is published as Crowder, Stephen V., Karen L. Jensen, W. Robert Stephenson, and Stephen B. Vardeman. "An interactive program for the analysis of data from two-level factorial experiments via probability plotting." Journal of Quality Technology 20, no. 2 (1988): 140-148. DOI: 10.1080/00224065.1988.11979094.

Rights
Reprinted with permission from Journal of Quality Technology (c) 1988 ASQ, www.asq.org
Copyright Owner
ASQ
Language
en
File Format
application/pdf
Citation Information
Stephen V. Crowder, Karen L. Jensen, W. Robert Stephenson and Stephen B. Vardeman. "An Interactive Program for the Analysis of Data from Two-Level Factorial Experiments via Probability Plotting" Journal of Quality Technology Vol. 20 Iss. 2 (1988) p. 140 - 148
Available at: http://works.bepress.com/stephen_vardeman/33/